公开(公告)号：US20240013633A1

公开(公告)日：2024-01-11

申请号：US18470059

申请日：2023-09-19

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer ,  Arun Patil ,  Dharmavaram Arbaaz ,  Arun Vaishnav ,  Prakash Mall ,  Neha Dixit

IPC: G07G1/00 ,  G07G3/00 ,  G06V10/764 ,  G06V20/52 ,  G06F18/2413

CPC classification number: G07G1/0045 ,  G07G3/003 ,  G06V10/764 ,  G06V20/52 ,  G06F18/24137 ,  G06F18/24147

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

公开(公告)号：US12136061B2

公开(公告)日：2024-11-05

申请号：US17681470

申请日：2022-02-25

Applicant: Target Brands, Inc.

Inventor： Arun Patil ,  Prakash Mall ,  Snigdha Samal

IPC: G06Q10/087 ,  G06T3/4038 ,  G06T3/608 ,  G06T7/00 ,  G06T7/194 ,  G06T7/70 ,  G06T11/60 ,  G06V10/24 ,  G06V10/25 ,  G06V10/28 ,  G06V10/75 ,  G06V20/52 ,  G06V30/224

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. For example, the captured image may be compared against a reference background image using a background modeling algorithm to identify empty spaces and mis-shelved items within the shelf.

公开(公告)号：US20230274226A1

公开(公告)日：2023-08-31

申请号：US17681470

申请日：2022-02-25

Applicant: Target Brands, Inc.

Inventor： Arun Patil ,  Prakash Mall ,  Snigdha Samal

IPC: G06Q10/08 ,  G06V10/28 ,  G06V10/25 ,  G06V10/24 ,  G06V10/75 ,  G06V30/224 ,  G06V20/52 ,  G06T7/00 ,  G06T7/194 ,  G06T7/70 ,  G06T3/40 ,  G06T3/60 ,  G06T11/60

CPC classification number: G06Q10/087 ,  G06V10/28 ,  G06V10/25 ,  G06V10/243 ,  G06V10/751 ,  G06V30/224 ,  G06V20/52 ,  G06T7/0008 ,  G06T7/194 ,  G06T7/70 ,  G06T3/4038 ,  G06T3/608 ,  G06T11/60 ,  G06T2207/20081 ,  G06T2207/30232

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. For example, the captured image may be compared against a reference background image using a background modeling algorithm to identify empty spaces and mis-shelved items within the shelf.

公开(公告)号：US20230274410A1

公开(公告)日：2023-08-31

申请号：US17681507

申请日：2022-02-25

Applicant: Target Brands, Inc.

Inventor： Arun Patil ,  Prakash Mall ,  Snigdha Samal ,  Soma Halder ,  Mohit Sethi ,  Swaroop Shivaram

IPC: G06T7/00 ,  G06T7/70 ,  G06T3/60 ,  G06T3/40 ,  G06V20/52 ,  G06V20/64 ,  G06V10/82 ,  G06Q10/08

CPC classification number: G06T7/001 ,  G06T7/0008 ,  G06T7/70 ,  G06T3/608 ,  G06T3/4038 ,  G06V20/52 ,  G06V20/64 ,  G06V10/82 ,  G06Q10/087 ,  G06T2207/20084 ,  G06T2207/30232

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. An iterative projection algorithm or product fingerprint matching algorithm can be used to identify the products. When an incorrect product listing or an empty shelf space is encountered, a message may be sent to the store employee to remedy the issue.

公开(公告)号：US20240220957A1

公开(公告)日：2024-07-04

申请号：US18142393

申请日：2023-05-02

Applicant: Target Brands, Inc.

Inventor： Arun Patil ,  Ashok Jayasheela ,  Arun Vaishnav ,  Kumar Abhishek ,  Spoorti Nayak ,  Dharmavaram Arbaaz

IPC: G06Q20/20 ,  G06T7/194 ,  G06T7/20 ,  G06T7/70 ,  G06V10/25 ,  G06V40/10

CPC classification number: G06Q20/208 ,  G06T7/194 ,  G06T7/20 ,  G06T7/70 ,  G06V10/25 ,  G06V40/10 ,  G06V2201/07

Abstract: The present disclosure is directed to an artificial intelligence (AI) assisted monitoring system that uses cameras to recognize a product being moved by the user across the self-checkout unit and verifying whether the product was scanned at the point-of-sale terminal based on timestamp information associated with when the product was moved across the self-checkout unit to identify miss scan thefts.

公开(公告)号：US11798380B2

公开(公告)日：2023-10-24

申请号：US17856083

申请日：2022-07-01

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer ,  Arun Patil ,  Dharmavaram Arbaaz ,  Arun Vaishnav ,  Prakash Mall ,  Neha Dixit

IPC: G07G1/00 ,  G06F18/2413 ,  G07G3/00 ,  G06V10/764 ,  G06V20/52

CPC classification number: G07G1/0045 ,  G06F18/24137 ,  G06F18/24147 ,  G06V10/764 ,  G06V20/52 ,  G07G3/003

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

公开(公告)号：US20230005342A1

公开(公告)日：2023-01-05

申请号：US17856083

申请日：2022-07-01

Applicant: Target Brands, Inc.

Inventor： Christopher Brakob ,  Ethan Sommer ,  Arun Patil ,  Dharmavaram Arbaaz ,  Arun Vaishnav ,  Prakash Mall ,  Neha Dixit

IPC: G07G1/00 ,  G07G3/00 ,  G06V20/52 ,  G06V10/764 ,  G06K9/62

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.